Channel Allocation

Channel allocation, the process of assigning radio frequencies to users or devices, aims to optimize network performance, typically by maximizing data rates or minimizing interference. Current research heavily utilizes machine learning, particularly deep reinforcement learning and graph neural networks, to address the complex optimization problems inherent in dynamic and secure channel allocation across various network types, including cognitive radio networks and wireless local area networks. These advanced techniques offer improved efficiency and robustness compared to traditional methods, impacting the design and performance of future wireless communication systems.